Zillow shut down its AI-powered home-flipping business Zillow Offers after its Zestimate algorithm failed to accurately predict home prices, resulting in $540 million in losses and 2,000 job cuts.
Zillow launched its iBuying business Zillow Offers in 2018, using its Zestimate algorithm to predict home values and make cash offers to homeowners for quick resale. The AI system analyzed property data including tax records, homeowner submissions, and comparable sales to estimate market values. However, during volatile market conditions from 2020-2021, the algorithm consistently mispriced homes, leading Zillow to purchase properties at prices higher than it could resell them. In the third quarter of 2021 alone, Zillow bought 9,680 homes but only sold 3,032, with an average loss of $80,771 per home sold. The company recorded a $304 million inventory write-down in Q3 2021 and announced a total write-down of over $540 million when shutting down the business. CEO Rich Barton stated that 'the unpredictability in forecasting home prices far exceeds what we anticipated.' The failure resulted in cutting 2,000 jobs (25% of staff) and Zillow attempting to sell over 7,000 homes worth $2.8 billion. The Zestimate had a median error rate of 1.9% for on-market homes and 6.9% for off-market homes, but even small errors multiplied across thousands of transactions created massive losses.
Domain classification, causal taxonomy, severity scores, and national security assessments were LLM-classified and may contain errors.
AI systems that fail to perform reliably or effectively under varying conditions, exposing them to errors and failures that can have significant consequences, especially in critical applications or areas that require moral reasoning.
AI system
Due to a decision or action made by an AI system
Unintentional
Due to an unexpected outcome from pursuing a goal
Post-deployment
Occurring after the AI model has been trained and deployed